How To Find A Career Path In Data Science

Hui Lin @Netlify

2019-10-26

Slides

https://scientistcafe.com/talks/ODSC2019West

What is a path?

The term no one really defined

Data science is the discipline of making data useful. Ok…so what is it?

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Three tracks of data science

(It is a group work from https://github.com/brohrer/academic_advisory/blob/master/authors.md !)

Engineering

  1. Data environment: data storage, Kafka platform, Hadoop and Spark cluster etc.

  2. Data management: parsing the logs, web scraping, API queries, and interrogating data streams.
  3. Production: integrate model and analysis into the production system

Data Pipeline

Analysis

  1. Domain knowledge

  2. Exploratory analysis

  3. Story telling

Modeling

  1. Supervised learning

  2. Unsupervised learning

  3. Customized model development

Some confusions and more to come

Three tracks of data science

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Three tracks of data science

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Three tracks of data science

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Data Science Hierarchy of Needs

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Data Science Types v.s Needs

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Data Science Types v.s Needs

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Data Science Types v.s Needs

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Data Science Types v.s Needs

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Data Science Types v.s Needs

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Data Science Types v.s Needs

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Data Science Types v.s Needs

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Where does data science belong in your organization?

A standalone team

Where does data science belong in your organization?

An embedded model

Where does data science belong in your organization?

Integrated team

Startup vs. Big Corporate

http://bit.ly/2JlR9WU

Data Science Curriculum Roadmap

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